Since the popularisation of the Internet in the 1990s, the cyberspace has kept evolving. We
have created various computer-mediated virtual environments, including social networks …

Autonomous underwater vehicle plays a more and more important role in the exploration of
marine resources. Path planning and obstacle avoidance is the core technology to realize …

Abstract 3D point cloud data obtained from laser scans, images, and videos are able to
provide accurate and fast records of the 3D geometries of construction-related objects. Thus …

Location information for events, assets, and individuals, mostly focusing on two dimensions
so far, has triggered a multitude of applications across different verticals, such as consumer …

With the invention of the low-cost Microsoft Kinect sensor, high-resolution depth and visual
(RGB) sensing has become available for widespread use. The complementary nature of the …

Abstract 3D point-cloud recognition with PointNet and its variants has received remarkable
progress. A missing ingredient, however, is the ability to automatically evaluate point-wise …

Exploiting fine-grained semantic features on point cloud data is still challenging because of
its irregular and sparse structure in a non-Euclidean space. In order to represent the local …

We propose a novel algorithm for monocular depth estimation using relative depth maps.
First, using a convolutional neural network, we estimate relative depths between pairs of …

We research and develop autonomous mobile service robots as Collaborative Robots, ie,
CoBots. For the last three years, our four CoBots have autonomously navigated in our multi …

The amount of captured 3D data is continuously increasing, with the democratization of
consumer depth cameras, the development of modern multi‐view stereo capture setups and …